Dynamic parameter control of interactive local search in UML software design

Simons, C. and Parmee, I. (2010) Dynamic parameter control of interactive local search in UML software design. In: 2010 IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10-13 October 2010., pp. 3397-3404 Available from: http://eprints.uwe.ac.uk/12221

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Publisher's URL: http://dx.doi.org/10.1109/ICSMC.2010.5642479


User-centered Interactive Evolutionary Computation (IEC) has been applied to a wide variety of areas, including UML software design. The performance of evolutionary search is important as user interaction fatigue remains an on-going challenge in IEC. However, to obtain optimal search performance, it is usually necessary to “tune” evolutionary control parameters manually, although tuning control parameters can be time-consuming and error-prone. To address this issue in other fields of evolutionary computation, dynamic parameter control including deterministic, adaptive and self-adaptive mechanisms have been applied extensively to real valued representations. This paper postulates that dynamic parameter control may be highly beneficial to IEC in general, and UML software design in particular, wherein a novel objectbased solution representation is used. Three software design problems from differing design domains and of differing scale have been investigated with mutation probabilities modified by simulated annealing, the Rechenberg “1/5 success rule” and self-adaptation within local search. Results indicate that selfadaptation appears to be the most robust and scalable mutation probability modification mechanism. The use of self-adaption with an object-based representation is novel, and results indicate that dynamic parameter control offers great potential within IEC.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Interactive Evolutionary Computation (IEC), UML software design, dynamic parameter control
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:12221
Deposited By: Dr C. Simons
Deposited On:10 Jan 2011 13:53
Last Modified:25 Jan 2017 09:52

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